{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a449066c",
   "metadata": {},
   "source": [
    "# Building Network Models\n",
    "\n",
    "[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/brainpy/brainpy/blob/master/docs_version2/tutorial_building/build_network_models.ipynb)\n",
    "[![Open in Kaggle](https://kaggle.com/static/images/open-in-kaggle.svg)](https://kaggle.com/kernels/welcome?src=https://github.com/brainpy/brainpy/blob/master/docs_version2/tutorial_building/build_network_models.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f27e704",
   "metadata": {},
   "source": [
    "@[Xiaoyu Chen](mailto:c-xy17@tsinghua.org.cn) @[Chaoming Wang](https://github.com/chaoming0625)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1daa966d",
   "metadata": {},
   "source": [
    "In previous sections, it has been illustrated how to define neuron models by `brainpy.dyn.NeuDyn` and synapse models by `brainpy.synapases.TwoEndConn`. This section will introduce `brainpy.DynSysGroup` (alias as `brainpy.Network` in the previous version of BrainPy), which is the base class used to build network models."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa2b708a",
   "metadata": {},
   "source": [
    "In essence, [brainpy.DynSysGroup](https://brainpy.readthedocs.io/en/latest/apis/generated/brainpy.DynSysGroup.html#brainpy.DynSysGroup) is a container, whose function is to compose the individual elements. \n",
    "\n",
    "In below, we take an excitation-inhibition (E-I) balanced network model as an example to illustrate how to compose the LIF neurons and Exponential synapses defined in previous tutorials to build a network. "
   ]
  },
  {
   "cell_type": "code",
   "id": "49c0646a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-10-06T03:45:55.129129Z",
     "start_time": "2025-10-06T03:45:50.475274Z"
    }
   },
   "source": [
    "import numpy as np\n",
    "\n",
    "import brainpy as bp\n",
    "import brainpy.math as bm\n",
    "\n",
    "bm.set_platform('cpu')\n",
    "\n",
    "bp.__version__"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3.0.0'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 1
  },
  {
   "cell_type": "markdown",
   "id": "e363c68a",
   "metadata": {},
   "source": [
    "## Excitation-Inhibition (E-I) Balanced Network"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34345d13",
   "metadata": {},
   "source": [
    "The E-I balanced network was first proposed to explain the irregular firing patterns of cortical neurons and comfirmed by experimental data. The network [1] we are going to implement consists of excitatory (E) neurons and inhibitory (I) neurons, the ratio of which is about 4 : 1. The biggest difference between excitatory and inhibitory neurons is the reversal potential - the reversal potential of inhibitory neurons is much lower than that of excitatory neurons. Besides, the membrane time constant of inhibitory neurons is longer than that of excitatory neurons, which indicates that inhibitory neurons have slower dynamics."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eccd498d",
   "metadata": {},
   "source": [
    "[1] Brette, R., Rudolph, M., Carnevale, T., Hines, M., Beeman, D., Bower, J. M., et al. (2007), Simulation of networks of spiking neurons: a review of tools and strategies., J. Comput. Neurosci., 23, 3, 349–98."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e44e8f6df344666",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "Before defining the E/I balanced network, we first define the Exponential synapse model we need."
   ]
  },
  {
   "cell_type": "code",
   "id": "1bde9751d94766a7",
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-10-06T03:45:55.138965Z",
     "start_time": "2025-10-06T03:45:55.135135Z"
    }
   },
   "source": [
    "class Exponential(bp.Projection):\n",
    "    def __init__(self, pre, post, prob, g_max, tau, E=0.):\n",
    "        super().__init__()\n",
    "        self.proj = bp.dyn.ProjAlignPostMg2(\n",
    "            pre=pre,\n",
    "            delay=None,\n",
    "            comm=bp.dnn.EventCSRLinear(bp.conn.FixedProb(prob, pre=pre.num, post=post.num), g_max),\n",
    "            syn=bp.dyn.Expon.desc(post.num, tau=tau),\n",
    "            out=bp.dyn.COBA.desc(E=E),\n",
    "            post=post,\n",
    "        )"
   ],
   "outputs": [],
   "execution_count": 2
  },
  {
   "cell_type": "markdown",
   "id": "abcd15a8",
   "metadata": {},
   "source": [
    "## 1. Defining a network with input variables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9230ab4a",
   "metadata": {},
   "source": [
    "The first way to define a network model is using module in ``brainpy.dyn`` with ``brainpy.dyn.InputVar``. "
   ]
  },
  {
   "cell_type": "code",
   "id": "e2213320",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-10-06T03:45:55.148185Z",
     "start_time": "2025-10-06T03:45:55.143491Z"
    }
   },
   "source": [
    "class EINet(bp.DynSysGroup):\n",
    "    def __init__(self, num_exc, num_inh, method='exp_auto'):\n",
    "        super().__init__()\n",
    "\n",
    "        # neurons\n",
    "        pars = dict(V_rest=-60., V_th=-50., V_reset=-60., tau=20., tau_ref=5.,\n",
    "                    V_initializer=bp.init.Normal(-55., 2.), method=method)\n",
    "        self.E = bp.dyn.LifRef(num_exc, **pars)\n",
    "        self.I = bp.dyn.LifRef(num_inh, **pars)\n",
    "\n",
    "        # synapses\n",
    "        w_e = 0.6  # excitatory synaptic weight\n",
    "        w_i = 6.7  # inhibitory synaptic weight\n",
    "\n",
    "        # Neurons connect to each other randomly with a connection probability of 2%\n",
    "        self.E2E = Exponential(self.E, self.E, 0.02, g_max=w_e, tau=5., E=0.)\n",
    "        self.E2I = Exponential(self.E, self.I, 0.02, g_max=w_e, tau=5., E=0.)\n",
    "        self.I2E = Exponential(self.I, self.E, 0.02, g_max=w_i, tau=10., E=-80.)\n",
    "        self.I2I = Exponential(self.I, self.I, 0.02, g_max=w_i, tau=10., E=-80.)\n",
    "\n",
    "        # define input variables given to E/I populations\n",
    "        self.Ein = bp.dyn.InputVar(self.E.varshape)\n",
    "        self.Iin = bp.dyn.InputVar(self.I.varshape)\n",
    "        self.E.add_inp_fun('', self.Ein)\n",
    "        self.I.add_inp_fun('', self.Iin)"
   ],
   "outputs": [],
   "execution_count": 3
  },
  {
   "cell_type": "markdown",
   "id": "99233e81",
   "metadata": {},
   "source": [
    "In an instance of ``brainpy.DynSysGroup``,  all ``self.`` accessed elements can be gathered by the ``.nodes()`` function automatically."
   ]
  },
  {
   "cell_type": "code",
   "id": "c1d98910",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-10-06T03:46:01.086509Z",
     "start_time": "2025-10-06T03:45:55.153556Z"
    }
   },
   "source": [
    "EINet(8, 2).nodes().subset(bp.DynamicalSystem)"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'EINet0': EINet0(mode=NonBatchingMode),\n",
       " 'LifRef0': LifRef0(mode=NonBatchingMode, size=(8,)),\n",
       " 'LifRef1': LifRef1(mode=NonBatchingMode, size=(2,)),\n",
       " 'Exponential0': Exponential0(mode=NonBatchingMode),\n",
       " 'Exponential1': Exponential1(mode=NonBatchingMode),\n",
       " 'Exponential2': Exponential2(mode=NonBatchingMode),\n",
       " 'Exponential3': Exponential3(mode=NonBatchingMode),\n",
       " 'InputVar0': InputVar0(mode=NonBatchingMode, size=(8,)),\n",
       " 'InputVar1': InputVar1(mode=NonBatchingMode, size=(2,)),\n",
       " 'COBA2': COBA2(mode=NonBatchingMode),\n",
       " 'COBA4': COBA4(mode=NonBatchingMode),\n",
       " '_AlignPost0': _AlignPost0(mode=NonBatchingMode),\n",
       " '_AlignPost2': _AlignPost2(mode=NonBatchingMode),\n",
       " 'VarDelay0': VarDelay(step=0, shape=(8,), method=rotation),\n",
       " 'Expon0': Expon0(mode=NonBatchingMode, size=(8,)),\n",
       " 'Expon2': Expon2(mode=NonBatchingMode, size=(8,)),\n",
       " 'COBA3': COBA3(mode=NonBatchingMode),\n",
       " 'COBA5': COBA5(mode=NonBatchingMode),\n",
       " '_AlignPost1': _AlignPost1(mode=NonBatchingMode),\n",
       " '_AlignPost3': _AlignPost3(mode=NonBatchingMode),\n",
       " 'VarDelay1': VarDelay(step=0, shape=(2,), method=rotation),\n",
       " 'Expon1': Expon1(mode=NonBatchingMode, size=(2,)),\n",
       " 'Expon3': Expon3(mode=NonBatchingMode, size=(2,)),\n",
       " 'FullProjAlignPostMg0': FullProjAlignPostMg0(mode=NonBatchingMode),\n",
       " 'EventCSRLinear0': EventCSRLinear0(mode=NonBatchingMode),\n",
       " 'FullProjAlignPostMg1': FullProjAlignPostMg1(mode=NonBatchingMode),\n",
       " 'EventCSRLinear1': EventCSRLinear1(mode=NonBatchingMode),\n",
       " 'FullProjAlignPostMg2': FullProjAlignPostMg2(mode=NonBatchingMode),\n",
       " 'EventCSRLinear2': EventCSRLinear2(mode=NonBatchingMode),\n",
       " 'FullProjAlignPostMg3': FullProjAlignPostMg3(mode=NonBatchingMode),\n",
       " 'EventCSRLinear3': EventCSRLinear3(mode=NonBatchingMode)}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 4
  },
  {
   "cell_type": "markdown",
   "id": "550ac98b",
   "metadata": {},
   "source": [
    "The ``bp.dyn.InputVar`` has an variable ``input`` used to receive the projection of all coming inputs. Instead of giving inputs when calling the ``self.E`` or ``self.I`` populations (just like ``self.E(input)``), we can directly inject inputs into the corresponding ``InputVar`` instance. \n",
    "\n",
    "Let's try to simulate our defined `EINet` model. "
   ]
  },
  {
   "cell_type": "code",
   "id": "a74c5b2e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-10-06T03:46:08.260853Z",
     "start_time": "2025-10-06T03:46:03.065736Z"
    }
   },
   "source": [
    "net = EINet(3200, 800)  # \"method\": the numerical integrator method\n",
    "runner = bp.DSRunner(net, monitors=['E.spike', 'I.spike'], inputs=[('Ein.input', 20.), ('Iin.input', 20.)])\n",
    "runner.run(100.)\n",
    "\n",
    "# visualization\n",
    "bp.visualize.raster_plot(runner.mon['ts'], runner.mon['E.spike'],\n",
    "                         title='Spikes of Excitatory Neurons', show=True)\n",
    "bp.visualize.raster_plot(runner.mon['ts'], runner.mon['I.spike'],\n",
    "                         title='Spikes of Inhibitory Neurons', show=True)"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "f55c189382154f49b738930af4d0a1e2"
      }
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<module 'matplotlib.pyplot' from 'C:\\\\Users\\\\adadu\\\\miniconda3\\\\envs\\\\bdp\\\\Lib\\\\site-packages\\\\matplotlib\\\\pyplot.py'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 5
  },
  {
   "cell_type": "markdown",
   "id": "92b7a472",
   "metadata": {},
   "source": [
    "## 2. Defining a network with customized ``update()`` function"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4e5848b",
   "metadata": {},
   "source": [
    "Another way to instantiate a network model is define a customized update function in which the inputs are customized by the users. For example, "
   ]
  },
  {
   "cell_type": "code",
   "id": "14e659ca",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-10-06T03:46:08.274554Z",
     "start_time": "2025-10-06T03:46:08.268673Z"
    }
   },
   "source": [
    "class EINet2(bp.DynSysGroup):\n",
    "    def __init__(self, num_exc, num_inh, method='exp_auto'):\n",
    "        super().__init__()\n",
    "\n",
    "        # neurons\n",
    "        pars = dict(V_rest=-60., V_th=-50., V_reset=-60., tau=20., tau_ref=5.,\n",
    "                    V_initializer=bp.init.Normal(-55., 2.), method=method)\n",
    "        self.E = bp.dyn.LifRef(num_exc, **pars)\n",
    "        self.I = bp.dyn.LifRef(num_inh, **pars)\n",
    "\n",
    "        # Neurons connect to each other randomly with a connection probability of 2%\n",
    "        self.E2E = Exponential(self.E, self.E, 0.02, g_max=0.6, tau=5., E=0.)\n",
    "        self.E2I = Exponential(self.E, self.I, 0.02, g_max=0.6, tau=5., E=0.)\n",
    "        self.I2E = Exponential(self.I, self.E, 0.02, g_max=6.7, tau=10., E=-80.)\n",
    "        self.I2I = Exponential(self.I, self.I, 0.02, g_max=6.7, tau=10., E=-80.)\n",
    "\n",
    "    def update(self, inp):\n",
    "        self.E(inp)  # E and I receive the same input\n",
    "        self.I(inp)\n",
    "        self.E2E()\n",
    "        self.E2I()\n",
    "        self.I2E()\n",
    "        self.I2I()"
   ],
   "outputs": [],
   "execution_count": 6
  },
  {
   "cell_type": "markdown",
   "id": "fa372446",
   "metadata": {},
   "source": [
    "After construction, the simulation goes the same way:"
   ]
  },
  {
   "cell_type": "code",
   "id": "29ebd650",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-10-06T03:46:12.883356Z",
     "start_time": "2025-10-06T03:46:08.280561Z"
    }
   },
   "source": [
    "net2 = EINet2(3200, 800)\n",
    "\n",
    "inputs = np.ones(int(100. / bm.get_dt())) * 20.  # 100 ms, with the same current of 20\n",
    "runner = bp.DSRunner(net2, monitors=['E.spike', 'I.spike'])\n",
    "runner.run(inputs=inputs)\n",
    "\n",
    "# visualization\n",
    "bp.visualize.raster_plot(runner.mon.ts, runner.mon['E.spike'],\n",
    "                         title='Spikes of Excitatory Neurons', show=True)\n",
    "bp.visualize.raster_plot(runner.mon.ts, runner.mon['I.spike'],\n",
    "                         title='Spikes of Inhibitory Neurons', show=True)"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ],
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "7c5c6eea7b72441d89671931d3824391"
      }
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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DhgxB9+7dcfLkSfz3v//F/Pnz0blz50YBmueddx7cbnfA0nMAunbjPeuss7Bs2TL8+te/htvtxocffojk5GS8/PLLGDhwIHr27InRo0fjjDPOwO7du7F8+XIkJyfj3XffxeHDh9GxY0fcdNNN6NWrF5KSkvDBBx+goqICf/nLX5qUO2PGDLz//vu4/PLLMXbsWMTGxmLOnDk4ceJEo07UKmRlZeHxxx/Hjh07cPbZZ2P+/PlYv349XnrpJf/S5mD4DKEJEybA7Xb7jZFrr70Wv/nNb/DAAw9gx44d6NWrF5YtW4YlS5Zg0qRJfoNBC1dffTXatWuHhQsXYuDAgY32bdKDz7vTcD8bAJg1axaWL1+OSy+9FHfccQd69OiBAwcOYO3atfjggw9w4MABAD9Po+bm5mLKlCn+ZfFvvvkmTp8+rVmPO++8E3PmzMGoUaPw2WefoXPnzli0aJHfc9Uw1qk5tm7divz8fBQUFKBHjx6IjY3FW2+9hX379kVkHDJRjMSVYAyjLEuXLqVbb72VunfvTklJSRQXF0dnnXUWjR8/nvbt2xfwLAAaN24cvfbaa9StWzeKj4+nPn36BCzZJWp+6bmPNWvW+Jd9+5YHr1u3jm644QZq164dxcfHk8vlooKCAiovLyein5dW33PPPdSrVy9q3bo1tWrVinr16kUvvPCCpvSuXbuW3G43JSUlUWJiIv3mN7+h//73vwHPGLX0vKKiIuDZYEucg+UL0c9Ln6+88somf3vllVdSz549yev1Ul5eHrVs2ZJcLhc9//zzQXWsv/T89OnTNH78eEpLSyOHwxGwDP3w4cPk8XgoKyuLWrRoQd26daMnn3yy0ZJxX31oirFjxxIAev3115t8rj6h8mTbtm3kdDobLT0nItq3bx+NGzeOOnXqRC1atKCMjAzKz8+nl156KeC5b775hvr160fx8fGUnp5O999/P73//vsh8zYY+/bto9GjR1P79u0pLi6Ozj///IC8JWq6DgGgadOmERHRjz/+SOPGjaPu3btTq1atKCUlhS699FJasGCBhpximMY4iCwQ7ccwCuNwODBu3LhGUxwMEwqPx4N//OMfqKys5KMWGEYAHLPDMAwjkOPHj+O1117DjTfeyIYOwwiCY3YYhmEEsH//fnzwwQdYtGgRqqqqGh2hwDCMebCxwzAMI4Avv/wSRUVF6NChA5599ln07t1btkoMEzVwzA7DMAzDMLaGY3YYhmEYhrE1bOwwDMMwDGNrOGYHP58js2fPHrRu3VrXycMMwzAMw8iDiHD48GFkZWU1Ooi2Pmzs4OdzdKx4/g/DMAzDMD8f0dOxY8eQ99nYAfxbme/atcuS5wAxDMMwTDRSU1ODTp06NXskCRs7+OWk4+TkZDZ2GIZhGMZiNBeCwgHKDMMwDMPYGjZ2GIZhGIaxNWzsMAzDMAxja9jYYRiGYRjG1rCxwzAMwzCMrWFjh2EYhmEYW8PGDsMwDMMwtoaNHYZhGIZhbA0bOwzDMAzD2Bqpxk5tbS2mTp2KLl26ICEhAV27dsUjjzwCIvI/Q0R46KGHkJmZiYSEBPTr1w/btm0LeM+BAwdQVFSE5ORkpKam4rbbbsNPP/0kOjkMwzAMwyiIVGPn8ccfx+zZs/H8889j8+bNePzxx/HEE0/gueee8z/zxBNP4Nlnn8WLL76INWvWoFWrVnC73Th+/Lj/maKiInzxxRd4//338e9//xsff/wx7rzzThlJYhiGYRhGMRxU340imGuuuQbp6en4xz/+4b924403IiEhAa+99hqICFlZWZg8eTL++Mc/AgCqq6uRnp6OV155Bbfccgs2b96MHj16oKKiAjk5OQCA9957D4MGDcL333+PrKysZvWoqalBSkoKqqur+WwshmEYhrEIWvtvqZ6dyy67DOXl5di6dSsAYMOGDVi5ciUGDhwIAPj2229RWVmJfv36+X+TkpKCSy+9FKtXrwYArF69GqmpqX5DBwD69euHmJgYrFmzRmBqGIZhGIZREanGzp/+9Cfccsst6N69O1q0aIE+ffpg0qRJKCoqAgBUVlYCANLT0wN+l56e7r9XWVmJDh06BNyPjY1F27Zt/c805MSJE6ipqQn4E8Wrr76Kzp0749VXXxUm04fX60VRURG8Xq9w2SJQIX2idZCRZlEy7Zw2FeRGg0wV2gRV9FBBB6mQRN544w3q2LEjvfHGG7Rx40Z69dVXqW3btvTKK68QEdGqVasIAO3Zsyfgd7/73e+ooKCAiIgeffRROvvssxu9Oy0tjV544YWgcqdNm0YAGv1VV1cbnMLGuFwuAkAulyvgekVFBRUWFlJFRYVpsgsLCyk2NpYKCws1PS9Cp3AIpZfe9JmBaB1kpFmUTDunTQW50SBThTZBFT1U0MEMqqurNfXfUo2djh070vPPPx9w7ZFHHqFzzjmHiIi++eYbAkDr1q0LeOaKK66gCRMmEBHRP/7xD0pNTQ24f+rUKXI6nbR48eKgco8fP07V1dX+v127dgkxdioqKig3N5fatWtHeXl5AZ21iIqo13hR9eMIpVdJSQm5XC4qKSmRpJl4A1GGQWqGzGDvNDNtod5ttMyG7zNTrt53WFWmHrTIE6FTpDJklJVVsISx07Zt20bel8cee4y6detGRER1dXWUkZFBTz31lP9+dXU1xcfH0xtvvEFERF9++SUBIK/X63+mrKyMHA4H7d69W5MeWjMrUtxuNzkcDsrMzGzUWatYEVXUiUhtzw4THnYd8TeUY6bcwsJCcjqd5HK5TP9mfd+g2+02NR9FerzdbreS7R0Rt21NYQljZ+TIkXTGGWfQv//9b/r2229p8eLF1L59e7r33nv9z8yaNYtSU1NpyZIltHHjRho8eDB16dKFjh075n9mwIAB1KdPH1qzZg2tXLmSunXrRkOHDtWsh2hjJzc3V9mPysqoapwxzaPiiN8MOWZ7q1wuFzmdTmFGnNkGgkiPt9mGWyRw2xYaSxg7NTU1NHHiRMrOzqaWLVvSmWeeSQ888ACdOHHC/0xdXR1NnTqV0tPTKT4+nvLz82nLli0B76mqqqKhQ4dSUlISJScn0+jRo+nw4cOa9RBl7NSvsFx5QxNu3piVp+G8NxJd7Nrxy5InU7Zoo6qkpETI1J/IdLndbnK73cIN0+auyyaavqOmsISxowoijJ2GlYPdkqEJN2/MytNw3huJLnad0pElT6ZsOwVzR1PwtkryQxFN31FTaO2/Y8Wu/YpeiouLsWDBAgCAx+NBVVUV8vPz4fF4JGumHr480Zs3DX/n9XpRXFwMj8cTsA+TCH3CTUOkvw0Hu8uTKVuUPBFyZJWbzPqigvxQRNN3ZAiCjC+lEe3Z8cXuuN1u0+SFo5eKRKJfuKMPkXliR1nR5l5X/RtqDivrb2Xd9RAt6QwHnsbSgaiYHR8qGTsquSODEYl+4TYQIvNE5Aoau0ypNFWuZsk2S6YKy55VbwOawgzdZRkWMuq1HWBjRwdmGTuhVmJMnz5d+H4wKgTfWSXQV+SeFk2toDG6bJp7X7D7ostMC001/GbJNktmw/eaoX9zHaWI4GazkJFfZiGjXot6v5mwsaMDs4ydhpXX92+Xy2X7nUtV0MEqAXyhGhoV8kuFetMQO01ViVi4oFV3FcvaLJrKE1mGhag6Fgyjy17kN8rGjg5Ee3ZKSkqELacMpYsMROtg9dgRWflVf4RvpxGlFeqDzHqj93dWLjut3i4z0lZftog81BI2EakeIoz2ULCxowPRMTtE0TWKsgpmNjwypuPCRXTMUjBZqk5PhKuXSNlGlp/IOBJRsioqmt+7x8xvoH46RXxrImJERUzHhoKNHR2INnZKSkooIyOj0flYZqCCR6c5VNHRzIYnkneLNoxVGLHLnM5pinD1EinbyPITGUciSpaWfBT1DYiQo0WG0Z4dkbCxowPRxk5mZiYBoMzMTNNlWcGDpIqOZh4kGsk0hirGoEhUTbPZU0SiY0maq/NGyqz/LjPreXPvMTJmRoWBgRHI9MxEChs7OhBt7OTm5hIAateunelxEaIbz3CItJExKh0qGF0q6MAYj9ZyFTUF5cPlchEAcrlcEctrTn79tKnoRQ3ndypM+RqBETE3svoTNnZ0INrYqagIXG4sq4OzcsdqRsOpgvFnl5FiuKiokxEY4dnRi5bvwkxvZlPeAhXi4xo+Z7ZnR/RUUSTywvmtr7xFnx7Pxo4ORBo7vuC43Nxcf4CcrAbeyh2LqIbTzqho7Kqok1WR/V3Ilt8couua3eX5ylv06fFs7OhApLFTWFhIDoeDHA4HN+iMVFTsjFTUyQpwvmnHl1eiN1E0ooxEepLCfYfousjGjg6iybPDjaI+ROWXCDlGywg3EFSEbDMxK2g3ElmRjOJ9bZKofb+MDBAOR2aovLKCMVJfdxGGT7ixOyLrExs7OpC9z45dgtzsiKj8EiEnXBmhGsrm3qdiEKpqso3Kw0g66qa8zWYYIKHSFG5HrldmuPVZrxwjn/WhxWgzSlZDeVoRPXvBxo4OZBg7smJO2LOjD7Pyy4jgSL3ywh1t6RkJywpCFf0NGTVylekdqy8jVHrMMCq1eHaMlqslH63g2ZElS69e7NlRFBmrsdjgMB+VpzqMbMy1pDPSaQ6tMQ5GpCtS977V5YmebjTrt5G8S4TxL7JtsLM82f0ZGzs6EG3s8FSSGFSe6jCygdCSTiPkqSTHSLmqyTO63ho9hSEy/kOrTnoR3TbYWZ7s/oyNHR3I8OzY/SBQFUYWKnt2rCjLbnJUlReOPk39xmjjRFT8R7DnjepYjc5jM38bzrtETX9q9fiaCRs7OhC9GquwsJDOP/98AkB5eXmmyyTSfu6MaiMnLfq43W7/8Rs8NchEI77vTcuGblq/8XAHEQ3vG2lsmWHURaKPEejVW7YnRTU92NjRgeh9dmJjYyk+Pt5/ZITs0XL9Sitz5BQMLfr4jB3eu8g8gpWn7Ll65hd8ZaFlQzezO6mG7xflCTI7XWbVd716q/LdyTQ868PGjg5keHamT59OLpeL8vLypGyxHUwnIz07RqHVZSt6WjDaCNYgqzKyY35BhSkOozw7kcq1ClbVuylEtg1s7OhAlLETrFPWMyILV6aqH5KKsTZMcNizIwe7GQqqxUfZQa6KecqeHUURZewUFordvMsnU9XRt9EBkAxjN0R9C3aR07AdldGWVFQEHvRsNg3TaNXYpXBhY0cHMj07ZqPy6Js9O0y4REsdsZvHRXRHLKOeFBYWktPpJJfLJcWzY9XYpXBhY0cHMmJ2VKko0QDn+c/IzAejZWtt0LnsowsVylv2lK/IQbUK+c3Gjg5krMbSupySiRxV3K6yy1nWqNcMt75W3UOVvZ1jKvSggm7RUBai2yC7TEtqgY0dHYg0dkpKSigjI4Py8vKEziur0Kg1h1k6qpJ22Q2DrHgG0W79+oQqe5FlIbvcm0IF3aKhLFQMIraSnKZgY0cHIo2dYHvCiKgwKjRqzWEFHSNBhYahPtHUIDYkGrwJWlBBNy4LJhLY2NGBDGNH9G6/VvjIraCjHuyWHoZhrI0d2ySt/XcMGKHMmDEDhYWFeOedd5CTkyNMbk5ODubNmydUpl6soKMeiouLsWDBAhQXF8tWhWGUxev1oqioCF6v15byVCKa2ySpxk7nzp3hcDga/Y0bNw4AcPz4cYwbNw7t2rVDUlISbrzxRuzbty/gHd999x2uvvpqJCYmokOHDrjnnntw+vRpGclpFq/Xi+LiYng8Htt06ExoPB4PCgoK4PF4ZKuiNNHc+dQnWvNBdAccSl405H9Ut0mCPE1B2b9/P+3du9f/9/777xMAWr58ORERjRkzhjp16kTl5eXk9XopNzeXLrvsMv/vT58+Teeddx7169eP1q1bR6WlpdS+fXuaMmWKLj1Ebiroi0mR4U6009JjuxNN9cPusVpaidZ8UCV4N1rz3+pYMmZn4sSJ1LVrV6qrq6NDhw5RixYtaOHChf77mzdvJgC0evVqIiIqLS2lmJgYqqys9D8ze/ZsSk5OphMnTmiWK3JTwfqGjugPS+bHzA2JPqKpfrAh/DOcD3JRxehiOfqwnLFz4sQJateuHT366KNERFReXk4A6ODBgwHPZWdn09NPP01ERFOnTqVevXoF3N++fTsBoLVr12qWLTJA2Uc0jdxlyw4Xu+SX1ndZsYyawm7pYdQt03D0imRwoUee3ffcsZyxM3/+fHI6nbR7924iIpo3bx7FxcU1eu7iiy+me++9l4iI7rjjDurfv3/A/SNHjhAAKi0tDSnr+PHjVF1d7f/btWuX6cZO/cpp1xGEbJlG62AXb5Rd0qGXaE23nTGzTCNpL8LRK5i8SDfL1CrHiGeN/G0kWM7Y6d+/P11zzTX+f5tp7EybNo0ANPoz09jxbayWkZFBmZmZwg6J88mOlikRI3VQwWAzAqukw2g9w3lfNAxErIyZ+SXK02KEDmblgwrttl4sZezs2LGDYmJi6O233/ZfM3MaS5Znx+VykcPhIACUmJhIJSUlpslrKDvcEYSRMkX8Npz3yOpwok1uc8hu6PXoYFV5ViCavwvZOsiWHw6WMnamTZtGGRkZdOrUKf81X4DyokWL/Ne++uqroAHK+/bt8z8zZ84cSk5OpuPHj2uWLzJAOTc3l1q2bEkOh0PK9vk+VG5krdbhhNtAhCvXCtNzZnpVVJ3KsII8lXThVVGMEVjG2KmtraXs7Gy67777Gt0bM2YMZWdn04cffkher5fy8vIoLy/Pf9+39Lx///60fv16eu+99ygtLU3ZpedEv0xnJSYmCp3KaohKjWxDVGl0tSLaaLHC9JxqBonIOmXV1S9NlZkZaQolr6SkhFwulxDPt8rtIKMNyxg7ZWVlBIC2bNnS6N6xY8do7Nix1KZNG0pMTKQhQ4bQ3r17A57ZsWMHDRw4kBISEqh9+/Y0efLkAA+RFkR6dtxuN+Xm5lJubi653W7+yGyA1YwzEaimo0hvgVVXvzRVZmakSQXPDnuRrI9ljB0VMMvY8X3MJSUlVFhYSG63m2JjY8nlcvEHZgNU69CZ0Kjs2QlXN5XTxLIYUbCxowOzjB3fqMFn3Ljdbr/x43a72bNjcXzl6ytXkWVp1amSaJTVnDwjvQt2qhd2rA8yjCuV6roZsLGjA1GenfqFz+5T6+MrX5/HTktZGtUQ6K0/suKDWFbz8ozsHKw6hSZLhmhZMtp9leq6GbCxowMZOyiLDMKLZlQbgRrVEOhNl6yVX3pkBBsUmC3TbqNdO8lhz441ZbJnR2FkGDvs2RGDavksK0ZA5dgE1cqIYRjroLX/jjXpMHWmGTweD6qqqlBVVQWv14ucnBzZKtkSj8cT8F/Z5OTkYN68eVEjVwuqlZEMvF4viouL4fF4lGgLVNOHYSIlRrYC0YbX60VRUREAoF27digvL0dxcbFkreyLr5PnBltduIyA4uJiLFiwQJm2QDV9GCZS2NgRTP1GxO1244wzzoDb7ZatFmMxfEaz1+uVrUrEyEqL1+vFgAEDMGDAAGGyQ6XV4/GgoKDAUO9WJPlqlD4yyla0TJHyZH4rlm9vBE2rKY3ImJ36sRMcq8CEi53qjtvtJofDQW63W6jcwsJCcjgc5HA4wsrHcOKg7LjCSDUd7Lz6SNY2BSrUpVBwgLIOZBk7KgeNMmoTSd1RbZWLGcaOFrm+Hc3D3e8qWAfQnFyz81619qUpHczSz86rj2RtU6BCXQoFGzs6EGHshLMnixnyVaisMnWxc0OoVaZqI1Ez8khEGoPpLXsELFu+Hqykqx2RbZgbBRs7OhBh7Pg+bN/ZWJmZmUL32Cks/PkAUpknrcs2+IjkurhFNR7NpVGlkahdRvey5aoiPxTB9IrmQY+q5VQfqxijbOzoQKRnp6KiglwuFwEgl8tlmrxg8l0ul9ST1usbfEZ+6HoaDtGdq4wYLdWmMurTUB9VGlSVDEA7ylelnH3IjutRLT+CIbueaoWNHR2IjtnJzc2ldu3aUV5entAdSEVUXhlz9KIDXMOdvgg3/ZHkm95G1ew60tDgFbFrspY0GdX5iJAVaRlplW9kXdDTLogYkPj+36z6FyxN9ePDjEqjyDZd5A7nemBjRwcijR1fQyPi5HMZowcZMkUbO8HSaKZ3KZI81dtQGV1+oToykVOZDdNk5pRKOEavyPrQnDwZnkhRXo9g71VRlp76IKKMRPZZ4cDGjg5krMaaPn266WdjyXBDRoNMUSNro+TpkWl0XoaSK3PayMwOIpx0qeR9q6+LqDKS4dlp6ppsWXrqA3t22NjRhYyzsWTtLcLIJxoMQtlym0I1nVTSRyVdohUuA32wsaMDNnYYEUSDkRMNaZQtl2GYX+CDQBWj4cF6M2bMQLt27aL68MNow3dUCABhh3KKlhkNaZQtl2EY/fDZWIJoeLAeH35oLLLPbtEiP9LzhrSmsf5zemVGmo/NnfdmRjk1TKOoumD3s+1kf1MNiYZztlSR3RSq6tUsgjxNSiN6nx3GeGSsAhMtX6uMSHSJNB3N/V6lfLKKHFmolr5oWV2qguymUE0vjtnRgYyYHR9sBBmD7HwUuSqioQwjV7NEmo7mfi8zn6wqRxaqpS+a4sFky24K1fTS2n87iIjk+pbkU1NTg5SUFFRXVyM5Odl0efXjd3zTWwUFBTzvz4RFUVER1yGGYaISrf03x+xIoH78TqRxHGai+tysqvqJ1ktrHVI1vxhrokp9Eq2HrHRHW8yS4QjxMymO6Gks1dyAoVBtbrYhqurHejF2RsYu2E0hul7L+o6iLWZJKxyzowOZMTsqo7pRpkU/K87zi9zV1WyZWpEtX1VUyJdQO1AbfaCvUfqZnWcid2KWLbf++1Woi8FgY0cHZhk7qlaOaMIKI5OGROMITrZ8VVEhXxrqoHq7Fk3fj0i5KtTFYPCmggrAm47JxxfHIjsmquGmkk0hQ2fZ+SRbvqpozRc99cssHcwgnHSJ0LehXrLySKRcy3+jgowvpTHLs1NSUhL0sE/e3j76EDEqskL5WkFHK2LXEb6q3gRV9YpG2LOjAGVlZdi9ezfKysowYsQI//Xi4mLMnz8fq1atwqJFi4TtosyeJnmIGBVZoXytoKMVsesIX1Vvgqp6MU0gyPhSGtExOxUVFeRyucjpdAodGfCo2t5YoXytoCPDMNaBNxXUgehNBQFz59gZhmEYJhrgTQUVhw8CZeyK7I3IomWTuXCxmr4MYwTSjZ3du3dj2LBhaNeuHRISEnD++ecHfIREhIceegiZmZlISEhAv379sG3btoB3HDhwAEVFRUhOTkZqaipuu+02/PTTT6KTogmv14sBAwZgwIAB3NgwSmB051d/h3AZmC2/YX6ZIS9YmRhVTnr0tbPhaAWjrykdVdZfSd1EzKmF4sCBA+RyuWjUqFG0Zs0a2r59O5WVldHXX3/tf2bWrFmUkpJCb7/9Nm3YsIGuu+466tKlCx07dsz/zIABA6hXr170v//9jz755BM666yzaOjQoZr1ELmpYGFhITkcDnI4HBzJzyiB0StLZMflmC1fxL4zwcrEqHLSo6+ddye2woqqpnRUWX+RulliU8H77ruPLr/88pD36+rqKCMjg5588kn/tUOHDlF8fDy98cYbRET05ZdfEoCAD3fp0qXkcDho9+7dmvQQaexUVFSQ2+0mt9vNQZqMEsg2TqyGXXfL1aqHXeRZod6rvOt5U4jUzRIByj169IDb7cb333+PFStW4IwzzsDYsWNxxx13AAC2b9+Orl27Yt26dejdu7f/d1deeSV69+6Nv/71r/jnP/+JyZMn4+DBg/77p0+fRsuWLbFw4UIMGTKkkdwTJ07gxIkT/n/X1NSgU6dOQgOUGYZhGIaJDEsEKG/fvh2zZ89Gt27dUFZWhrvuugsTJkxASUkJAKCyshIAkJ6eHvC79PR0/73Kykp06NAh4H5sbCzatm3rf6YhM2fOREpKiv+vU6dORictJErOZTKMAFSv+6rrpxqcX0woVKwbUo2duro6XHjhhXjsscfQp08f3Hnnnbjjjjvw4osvmip3ypQpqK6u9v/t2rXLVHn1kR28aUdU/LCaIlqDPo2u+yIDq+1cZuHCbVl0I/JbNwTTJ9SaIDs7m2677baAay+88AJlZWUREdE333xDAGjdunUBz1xxxRU0YcIEIiL6xz/+QampqQH3T506RU6nkxYvXqxJD9ExOyrMxdsJlQP1gtGUvqKCXc1CZNrMDKwOddK3HQN1wyXS8uR2z1xEB+qLlF0fSwQoDx06tFGA8qRJkygvL4+IfglQfuqpp/z3q6urgwYoe71e/zNlZWXKBigHwwoNm8pYrdFsSl8z6oJdgz7NlCX7pG+r1elwaK6uc55Hhtn9iir5ZQlj59NPP6XY2Fh69NFHadu2bTRv3jxKTEyk1157zf/MrFmzKDU1lZYsWUIbN26kwYMHB1163qdPH1qzZg2tXLmSunXrpuzScx9NjSIZ+9JcWUfDihsrwHliPs3lMXvTIiNa6rAljB0ionfffZfOO+88io+Pp+7du9NLL70UcL+uro6mTp1K6enpFB8fT/n5+bRly5aAZ6qqqmjo0KGUlJREycnJNHr0aDp8+LBmHWQYO3b7sBhtqFjuKurEMOzZYbRgiaXnqsBnYzGiULHcX331VTz00EN4+OGHMWLECNnqMAzDaMYSS8+jmZycHHg8HhQXFyu94oJpTCQrZfSeiSZiVc7rr7+O7777Dq+//rppMgBxK4zsJkeWPIaxE2zsSETJ5XlRRLidR7jlFo48vbJU7hBF1Xe7yZElj2FshZBJNcWRtRqL54jlEm6sSrjlFo48vbKMlGF0/dQSlG+ETKOXRIvKn+bea4Y8boPsSTSVq2UClFVA9tJzRg6yAiBLSkpMk6snTTJXw4R6twrB0g11sPOqIBXymzGeaCpXNnZ0IMLYkbnUXBUrXxU9ZKNKQyRznxPR3hI9aPXsiJJvF1mMOKKpXNnY0YEIY6ewsJCcTie5XC5yu922HSmqoIfqH7oq+hm1m7fd9wYSIcvuecgwZsHGjg5EeXZcLhfFxMRQRkYGud1uW44UVdBDFePOioSTd5Hkt8j4p3ARIUtGneXvhLEDbOzoQFTMjs/gcTqd3MCYREVFBbndbqHGpE+uHaY6wsm/SHQJ91gGM4OnZcjSIiNcPYyaMjRTx3CJNo+YKgNXlWBjRweyDwLVco/RhqzRqp2CWEWmpWGdj4byC1eW6N+F8x47fQcqydQi225Tu1phY0cHqqzGYrdy5Mj6CEtKSsjlclFJSYnl5YnKQ6NihoyQLTIY22gPTXP3jUqbljpnRj6qNkBU1bMj02CXmSds7OhA9kGgTV1jrEE0jGiNRtURslVlmS0nGrxuVsaI/iPcaWSZxg8bOzowy9hRxQpnzCcaYhWMRtURslVlRSonXM9RJKgYByQKFduMcPslmdPRbOzowCxjJ5i16wv+NHNjOYZhGL2I6KBkx2ipZDip6A02Kn/Ys6Moojw7hYWF5HA4yOFwsEcnylCpkVVxRGnEbyJ9RzSXkSiZsmM9VPKoW+E7tAJs7OhA5NJzq3h2VPswVNEnXD3MbGT16hRMF7Pyt6IicLsFrXKMyC+3200Oh4Pcbrem542QaVQ+yvCyiED2dyxbPmM8bOzoQEaAst6GWDQqjYCIzNEnnIbPqDltI9GrUzBdzCrvwsJfdg73ydXiSjdiryS935hPv0gGIkblowwvSzTAxo79YGNHB2zsNEa1RsEMfcJp7FXLFyJjNuIz07NT/71mBkk2J1vr/UjkG5mPZte1aAwOtoKBZ7c8Nxs2dnQgc+m56tNZdsboRkX1OXgrNPRE8o8VUaWzUaG8VNDBSFQp26awW56bDRs7OpC5qSBXbPug4uqK+lihoReJ6vmhgn4q6BBtiBqEifLmmg0bOzqQaeywh8c+qO7ZYRgirjfRRqhBkZlxeiIHfWzs6ECFs7HYw8MwjAi4rVET0Z6WcOLpIpFnFmzs6ECksRMqMFnWaMtqozxR+tp5Wa6d06YH1XSSWf4iZKuW36oh2wiVLT9c2NjRgcjjItxuNwGgzMxMJT56q1VwUfrKyBdOm1hU00mmPiJkq5bfqiHbGJQtP1zY2NGBqOMiiH7ZZC0mJsa/94hMrBYzVP+DNHPprIzRb0WFMfvLaJHjK3Oz5alcv1Tzpuqt20ai5UTzSLFaZ2p3D6iRbaNM2NjRgeiDQH0Gj29XWRWw4qhLi85Gpstuo9/CQvOPL7FivTIb0fXWKJ2iDbt7QMOVpVpd0dp/x4IxjZycHMybNy/ove7du6N79+7weDyCtQqOTw9V9NGCFp2NTJeIPBJZDh6PB1VVVabKs2K9MhvR9dYonaINGXki+vsPR1ao33m9XhQXF8Pj8SAnJ8cYJQ3EQUQkWwnZ1NTUICUlBdXV1UhOTjZdXlFRERYsWICCgoKQxhDDMAzDWAVZ/ZrW/jtGmEYMvF4vioqK4Ha7UVBQwKMoxl8nvF6vbFUYRiiq1X3V9LEaHo9H7X5NyKSa4ohael5YWEgxMTGUmJhoaiBgpKgUgKaSLmZQf/7b7gGRTPNYIUDVKDlmxX6Emy7VYlEYbXCAsg5EGTsVFRWUmJhIAMjlcpkqKxJU+uhV0sUM6jfMdg+IZJrHCgGqRskxy9gKN11mGn88qDAPNnZ0IHJTwenTp1NiYiJNnz7ddFnhotKHqVcXlXTXi6il5w1lWjW/7Eg0eXbsIk8LPKgwD0sYO9OmTSMAAX/nnHOO//6xY8do7Nix1LZtW2rVqhXdcMMNVFlZGfCOnTt30qBBgyghIYHS0tLoj3/8I506dUqXHirsoCwaFRsEI1Alf4OhZXt2MxpFUXvd2LGjliWPsReq1x/V9WsKKcbOkSNHdD0/bdo06tmzJ+3du9f/98MPP/jvjxkzhjp16kTl5eXk9XopNzeXLrvsMv/906dP03nnnUf9+vWjdevWUWlpKbVv356mTJmiSw8Zxk5ubq7UymWnkUb9D1VlY6dhngfT1YxGp7CwkJxOJyUmJpq6t5OZhprseA9fHpq9EagWg9gMOWZiVw+SLJlmYOX+wDRj57e//S19//33ja6vWbOGunXrputd06ZNo169egW9d+jQIWrRogUtXLjQf23z5s0EgFavXk1ERKWlpRQTExPg7Zk9ezYlJyfTiRMnNOsh+iBQt9tNmZmZUjcVtOpH2pw3xMh0GZ1HDd9X39gxO16g/q7dZnl4mkqD0UGjZpVzU/KM2gi0Kd0byjerExI5KJAdG2Q3mVqIpul/04ydQYMGUdu2benNN98kIqLa2lqaNm0atWjRgiZOnKjrXdOmTaPExETKzMykLl26UGFhIe3cuZOIiMrLywkAHTx4MOA32dnZ9PTTTxMR0dSpUxsZS9u3bycAtHbt2pByjx8/TtXV1f6/Xbt2CTN2iMSNEu1IsMZFtUBHrYgMTrZqILSIRlirsWyULk3lhSjPjkhjhz074lHVCDMDU6exnn/+eUpMTKShQ4dSXl4eZWVlUVlZme73lJaW0oIFC2jDhg303nvvUV5eHmVnZ1NNTQ3NmzeP4uLiGv3m4osvpnvvvZeIiO644w7q379/wP0jR44QACotLQ0pN1iskEhjR8Q5NHbFju53O8vSIlN2hxGN8T+R6qBCGpjQRFP5mB6z86c//YkcDge1aNGCVq1aFe5rAjh48CAlJyfTyy+/bKqxw54daxFNH240Ek2jULvAZcaoglZjR/cOygcPHsSNN96I2bNnY86cOSgoKED//v3xwgsvhLOnYQCpqak4++yz8fXXXyMjIwMnT57EoUOHAp7Zt28fMjIyAAAZGRnYt29fo/u+e6GIj49HcnJywJ9I3G434uPjsWvXLhQXFwuVbUWKi4uxYMGCiPJKxd1RReqkYvp9KL/zKtMILjPGcui1orKysqhv3760fft2/7U333yT2rZtS4MGDdJvltXj8OHD1KZNG/rrX//qD1BetGiR//5XX30VNEB53759/mfmzJlDycnJdPz4cc1yRQco1w8WZW9FcOp7c4zw7Kg4EhWpk4rp96HatBrLZBjrYNo01sMPP0y1tbWNru/atYv69eun612TJ0+mjz76iL799ltatWoV9evXj9q3b0/79+8nop+XnmdnZ9OHH35IXq+X8vLyKC8vz/9739Lz/v370/r16+m9996jtLQ0pZee+6awMjIyKDc3V+gGclbC6M5ZxUbf7nE6WvGVtdvtFqZjw/qlUiC0GTJF5a2seqZq/VZFL1X0MAMh++wcO3Yskp/TzTffTJmZmRQXF0dnnHEG3XzzzfT1118HvH/s2LHUpk0bSkxMpCFDhtDevXsD3rFjxw4aOHAgJSQkUPv27Wny5MnKbSoYzEvhWw3hcDiUHG3LRuvHKfMjVr0BUV0/H/W/iUgMXD3pbfisUca11kDscOQFe3dzaY4kb8ORZ6YHUc+SfVVQRS9V9DAD04yd2tpaevjhhykrK4ucTid98803RET04IMP0ssvvxyetpIx29gJtVza7XazdydCRC5F1yJbJVTXryGRllsk6RWxrDxSecHerZo8M789PUv2VUEVvVTRwwxMM3b+/Oc/05lnnkmvvfYaJSQk+I2dN998k3Jzc8PTVjIiPTsNsVqHpBrB8lZUnprRgBj5Tjs3cMFQIb1m6hCOp8VK8sLRh2FMM3a6du1KH3zwARERJSUl+Y2dzZs3U2pqahiqykdkzI4P34dr9nlF0YiVG0U2fhlGbazcvjSFVdNl2tLz3bt346yzzmp0va6uDqdOnQp3UVjU4VtOXVZWhnnz5iEnJ0e2SrYhJyfH1Dw1cxm37CW9Ki9RVwEj8sfoPNbzPi7fyDFiKwwVsWu6/Oi1oi688EL617/+RUSBnp0///nPdPnll4dhl8lHlmfH7XZzvI5OVHCjRxpIG67c5oJejcC3WlDktghWWsETqeetosK4M7a06GRWIHYwRJWj7FWMoqcORaFXtiqeINOmsd5++21KSUmhWbNmUWJiIj355JN0++23U1xcHC1btixshWUiw9gh4imLcDA7z7TEVxm5jFdLg9FUmsPNj1ByzeiMm0PWd2DUiii9Mo02JvXEBMoKILaiHNGyZMiLBFV0NXXp+ccff0z9+vWjtLQ0SkhIoL59+4Z1NpYqiN5U0Berw54d/Zg9mhC94kNLg2GGZ0ellS1W8uxYTaZsL4iV5YiWJUNeJKiiq5B9duyC6E0FY2NjyeVyKWEVM4FES+MmQq4qjaEerKgzExl2/gajATZ2dCDS2PGdeD59+nSpFd1KH5qVdLULRuS5TDe3GR4vJjRW/kZlTGfKlCsDM/U21NhJTU2lNm3aaPqzIjI8O7IbU1X00IKVdLULRuS5zIbZ6Fgm1YlEbyM7bpFHfhiFjEB1mXJlYKbeWvvvWC0rtp555hn//1dVVWHGjBlwu93Iy8sDAKxevRplZWWYOnWqYavE7Irb7caqVavgdrul6uFb2myFU4utpKtdMCLPfVsAyCBc/WXqHAm+ZcMAdOsfyW99+PK5qqoq4neJJpwyl/V9WLUtVEJvvVbUDTfcQM8991yj68899xwNHjxY7+uUQJRnp+FKF1VHkarqxTCqIvubiWTZsJG6y84HJvowLWanVatWtG3btkbXt23bRq1atdL7OiUQZez4lp1mZGT4V2Kp6JK0qquUYWRhtW9Gj75swDAqY9oOyu3atcOSJUsaXV+yZAnatWsXsafJzng8Htx8883o1asXysvLAUDqbrmhkL2LL/MLone8FSnPTrv5Wu2b0aOv7XfWZaIDvVbU3Llzyel00jXXXEOPPPIIPfLII3TNNddQbGwszZ07N1zjTCqi99nh/XUYrdh5UzOreUOiFfbsMCpjmmdn1KhRWLVqFZKTk7F48WIsXrwYycnJWLlyJUaNGmW4MWY3iouLUV5ejnbt2vF5WEyziPYYaJVnhFdGb9pkeYJEyVXB0xVMB7PPmmtKtihZZsoO9W5RZ6TJPItNKQQZX0ojYwflYNv08+iJsQqivTIyjrHwfZOiYuvMzFOt7YuMcq2/WEOWV7H+v41ui0Olq+F1I44i0SInUlTzyJq6qWBtbS1t2bKFPvnkE1qxYkXAnxWRdTZWfVSrQCrCBqE6iC4LX3C/yANKRe8do8K5VTLK1SwjoykayjLT6NI6wI1UrqiBtGrtsGnGzurVq6lLly4UExNDDocj4C8mJiZshWUi69TzUB8bExw2CKOXaDjHykxUTYuKevHxEeEhS3/TjJ1evXrR7373O/ryyy/p4MGDdOjQoYA/KyLa2JHhkrcDVm8MmOaRXcbRJt/O8uwoS2VDTNZg1DRjJzExMeg+O1ZGtLHjdrsJAGVmZnLHzTD1kO29s4J8Izs80dNbzcmTkTYjECVLVv0UXS/1YJqx85vf/IaWLl0atmIqIsPYcTgc5Ha7hchjGNkei2AE0ymSnYCN0Ke5bSHMzkff+0tKSkLKMbLD0yLPSJnNyTMjbSIWgzT1TjvsUB2JXLN1Ns3YWbx4MfXo0YPmzp1LXq+XNmzYEPBnRWRMY6nW8TD2KJdQaZDtsQiGEToZma5Q75KxYqgpOWbUU5Eel6bkifgGRX8LMtOqAmbnt2nGTsOgZF9gMgco6yNaKrqVUNEgaEhz9cashlX0aFiGXloMRbvGZthdnkzZVhqAmIFlPTs7duxo8s+KyNhnJzc3l6eyFMMKLmLRI3AtclUz3I3WR5XO0eqyRMqTUSdlTsEa/V6t71Dh2zd1nx27IdLY8XUamZmZbOwwRGSNQxmbkqvaCFU1ffRix8Ba0fJk1AFV6p3I6WEV0qy1/47VssvyO++8g4EDB6JFixZ45513mnz2uuuu07uJc1Th2xrf7XajrKzMMgcHMubhqwNa6oJv637RNCVXj/4iUE0fvZitv9frRXFxMTwej/C8EiWvfjtbVFQEj8dj+nEXItJWv+xCpccIPbS+w1LfmhbLyeFw0L59+/z/H+qPY3a0o4L7j2GY6CPc0bgV26xgabViOnyo4ElRDUM9O3V1dUH/nwmfBx98EMuWLUNVVRXee+89YXK1jAyiDc4TJpoIdzReXFyMBQsWAIAU72I4BEurFdPhw1KeFMXQZOww9sHKH7pZcJ4w0US4U6FW7GiDpdWK6fAhaxrbDsTIViDa8Hq9KCoqQmFhIYYOHYoZM2YIle/xeJCfn4+qqip4vV6hsrXiyyOz9fPJcbvdKCgoML3xE5Eu0Xknog6JlMWExtfRWt37aZd0MDoRNK2mNDJWY8mcc1VBh6aw64oNEfLsmHeq11eGYeRhuaXnM2fOJAA0ceJE/7Vjx47R2LFjqW3bttSqVSu64YYbqLKyMuB3O3fupEGDBlFCQgKlpaXRH//4Rzp16pQu2aL32WluS3oROqgcoGfXvThEyLNj3qlQX1XQQS9W1Jlh9GIpY+fTTz+lzp070wUXXBBg7IwZM4Y6depE5eXl5PV6KTc3ly677DL//dOnT9N5551H/fr1o3Xr1lFpaSm1b9+epkyZoku+6NVYPFKNDG7EGdFY8Zu1os4MoxdTjZ3a2lrasmULffLJJ7RixYqAP70cPnyYunXrRu+//z5deeWVfmPn0KFD1KJFC1q4cKH/2c2bNxMAWr16NRERlZaWUkxMTIC3Z/bs2ZScnEwnTpzQrAOfjWUtuBFnRGPFb9aKOstElfxSRQ+rYJqxs3r1aurSpYv/PKxI99kZMWIETZo0iYgowNgpLy8nAHTw4MGA57Ozs+npp58mIqKpU6dSr169Au5v376dANDatWtDyjx+/DhVV1f7/3bt2iV8nx0mfLgxYBjGaFQZRKmih1XQauzoXo01ZswY5OTkYNOmTThw4AAOHjzo/ztw4ICud7355ptYu3YtZs6c2eheZWUl4uLikJqaGnA9PT0dlZWV/mfS09Mb3ffdC8XMmTORkpLi/+vUqZMuvSOBV5ZEjt7VFJznDMM0h8fjEbIq0yp62A3dxs62bdvw2GOP4dxzz0VqamqA0ZCSkqL5Pbt27cLEiRMxb948tGzZUq8aETFlyhRUV1f7/3bt2iVMtm9Pl+LiYu6EdRBJXtXPc71yVCojlXRhxMPlby6qLElXRQ+9KF8/9bqMfvOb39DSpUvDdjn5eOuttwgAOZ1O/x8Acjgc5HQ66YMPPjBtGqshImN2SkpKyOVyUUlJCbsrdRBJXkVyqrhKZaSSLuFixxVworBD+TP2JVT9NPsbNC1mZ/HixdSjRw+aO3cueb1e2rBhQ8CfVmpqaujzzz8P+MvJyaFhw4bR559/7g9QXrRokf83X331VdAAZd+5XUREc+bMoeTkZDp+/LhmXWTts2OnhthsjMqr5t7T8L5KZRSOLirpT2TPvY1EoVpZMuZhxbIOpbPZ36Bpxk6oA0CNOAi0foAy0c9Lz7Ozs+nDDz8kr9dLeXl5lJeX57/vW3rev39/Wr9+Pb333nuUlpam9NLzUBXCipVbVZrKS1U6P1HlrUp6fbBnh2GaR7XvNhJU8ezoPhvr22+/NWwKrTmKi4sRExODG2+8ESdOnIDb7cYLL7zgv+90OvHvf/8bd911F/Ly8tCqVSuMHDkSDz/8sDAd9ZKTkwOPx9Po4Ek+n8k4mspLVc7FEVXeqqRXFnyWEGNF7PTdKvMNmmJqWQzRnp3MzExyOBzkdrsDrvMI1BiskJdW0NEM7DRiNRLV6oMMfey4K7fd5IiWpQVTNxX8+uuv6e6776b8/HzKz8+n8ePH09dffx2WoiogOmYHAAEIMHYYJhpQraFUBdWMQBn62PG8NbvJES1LC6ZNY5WVleG6665D79690bdvXwDAqlWr0LNnT7z77ru46qqrDPQ72Q+Px4OqqioAEH7iOcPIRhmXtsl4vd5GU9VNodq0hQx9RMoUJctuckTLMhS9VlTv3r3pvvvua3T9vvvuoz59+uh9nRLwcRGMDy4bxghUG/0ykSOrbbD7lGKkmDaNFR8fT1u3bm10fcuWLRQfH6/3dUog2thxu92NYnaYyDDq4wy3k7JS48CYD9cH8xGdx7K2DbH7lGKkmDaNlZaWhvXr16Nbt24B19evX48OHToY4m1iGL0YtbopXBctr6Zj6hMt03UyEf3N1W8bRMq2+5SiMPRaUX/+858pNTWVZs2aRR9//DF9/PHHNHPmTEpNTaWHH344bOtMJjyNZX1k56ls+Yx6cJ0wF5n5y2WrDlr7bwcRkU7jCM888wz+8pe/YM+ePQCArKws3HPPPZgwYQIcDocJJpm51NTUICUlBdXV1UhOTpatDsMwNqCoqAgLFixAQUGB0l4evcHUDKMSWvtvXQeBnj59Gv/6179QWFiI77//3n+Q5vfff4+JEyda0tCRgfIHpjFMMzRVh82q31b7bqxyerWeg3IZxqroitmJjY3FmDFjsHnzZgBA69atTVHK7nB8B2N1mqrDZtVvq303VonbsWV8BsM0QHeA8iWXXIJ169bB5XKZoU9U4Ntrp6qqCl6vl13HjOVoqoM0q/PkTtkcVDXKeHqNMRLdMTsLFizAlClT4PF4cNFFF6FVq1YB9y+44AJDFRSBjJgdq8znMwzDiMRn5FRVVaG8vFxYGynDuGKDLnK09t+6PTu33HILAGDChAn+aw6HA0QEh8OB2traMNSNPniUylgBbowZ0fimK/Pz84XGPMmYJrXa1KyVUfrUcztSv/Pgys2oDjfGjGjqDwRFGti8n4290T2NZUdETmPx9BVjJdizwzCMypg2jfXqq682eX/EiBF6XxlVsCVvHNwRm4+qwasMwzB60O3ZadOmTcC/T506haNHjyIuLg6JiYk4cOCAoQqKgDcVtCbsJWMYholuTPPsHDx4sNG1bdu24a677sI999yj93UMEzbsJWMYhmG0oGsH5VB069YNs2bNwsSJE414na2RuQus7B1ojZbvm2LhKSyGEYfsdoRhwsEQYwf4eXdl31lZTCD1GweZW7PL3hbebPncCBuHCnkZzQMDmTo0J1d2O8Iw4aB7Guudd94J+DcRYe/evXj++efRt29fwxSzE/WX7/qmXNxuN4qKioQG18qe9jFbPi+TNg4V8lKmDtGc/ubkym5HGCYs9B6n7nA4Av5iYmIoPT2dhg4dSnv27NH7OiXQekR8uFRUVFBhYSFVVFT4/+1yucjpdFJhYaEpMqORhvnMhI8KeSlTh2hOvwppZxitaO2/eZ8diF+NNWDAAJSVlSEzMxPvvPMOx5wwjMXgbQ8YRg209t9hx+ycPHkSW7ZswenTp8N9RVTjcDhwwQUXcEOpOCrEbjDqYde4FVXjhBgmUnQbO0ePHsWtt96KxMRE9OzZE9999x0AYPz48Zg1a5bhCtqRwsJCZGdno7CwUKoeqjcwKuhn106NiQyPxyP03CZRyKrv/J0xZqPb2JkyZQo2btyIjz76CC1btvRf79evH+bPn2+ocnalrKwMu3fvRllZmVQ9VG9gZOlX38iyS6cmw3AULVOkvJycHHg8HhQXFwuRJyptweq7CNl2+c4YhdEbDJSdnU2rV68mIqKkpCT65ptviIho27Zt1Lp1a93BRSpgdoByQyoqKsjtdpPb7Y7KAEityNKvsLCQYmNjbRU8LiNNRsjUUwdEp1GLPKPqsJ60Gf3dGCFbxrdshMxI3xHJ76M9QF8rWvtv3cZOQkKC38Cpb+ysX7+ekpOTw1BVPiKNHZ+hk5mZyauxFMVKH7oWZBnX4eZj/d+J6OTN/F1D/UXoGCrPRMsOtxyNwgiZkb4jkt/LHHRZacBnmrHzq1/9ip599lki+tnY2b59OxER3X333eR2u8NQVT4ijB3fB+92u8nhcBAAcrlctulQGXWxUsNFFLrDFCHPaBrqL6IsQuWZaNmiy7EpXWS9gz075mOasfPJJ59QUlISjRkzhlq2bEkTJ06kq666ilq1akVerzdshWUiwtjxffhut5tyc3MpMzOTpk+frmyFskJlV1lHUbppkaNCo69HRklJidC8EyWvvsz6slSqK0bLs5JHkWWpIVMvphk7RERff/013X777XTxxRfTueeeS0VFRbRx48awFFUBkZ4d33+dTiclJiYqO5Wlmjcg2Eenmo71EaWbXeTI2GhTlfojWg+RHZhVpq/CzRORcWlG52U407AqYqqxYzdEByiXlJRQYmIiORwOZaeyVLPog310qulYH9VH63p/Z7Y73zcAEPk9yPDsqCBfZAdmFW9EuHkiMi7NaA+tFrkqt7E+LGHsvPDCC3T++edT69atqXXr1pSbm0ulpaX++8eOHaOxY8dS27ZtqVWrVnTDDTdQZWVlwDt27txJgwYNooSEBEpLS6M//vGPdOrUKV16iDJ26gcnx8TEKGvoqIgVPjorYXQQa7jyzJarBVmjV1ly+VtqjOg8kRXPJDuOygwMN3Z852A19ed0OnUp+c4779B//vMf2rp1K23ZsoXuv/9+atGiBW3atImIiMaMGUOdOnWi8vJy8nq9lJubS5dddpn/96dPn6bzzjuP+vXrR+vWraPS0lJq3749TZkyRZceooydwsJCAkAAKDMz0/KVLJqwS8Pgw4ggVj15IsoDFQ6y4mhCyWh43WxdtOohArvHwMiWLTNmzCwMN3befvvtkH/33XcfJSQkUHx8fMSKt2nThl5++WU6dOgQtWjRghYuXOi/t3nzZgLg3+entLSUYmJiArw9s2fPpuTkZDpx4oRmmaKMnZKSEmrZsiUBsOzKtWjFCnPXRqCn4RPh+o82r0sw2WbrEur9Vom3sYIsEciMO5KJkGmsr776iq6//npyOp00YsQI2rFjR9jvOn36NL3xxhsUFxdHX3zxBZWXlxMAOnjwYMBz2dnZ9PTTTxMR0dSpU6lXr14B97dv304AaO3atSFlHT9+nKqrq/1/u3btEubZER2XwIRGhGfCzohoXFUaAYt6P3t27O/ZMQPRcUeqYKqxs3v3brr99tupRYsWdM0119Dnn38elpJERBs3bqRWrVqR0+mklJQU+s9//kNERPPmzaO4uLhGz1988cV07733EhHRHXfcQf379w+4f+TIEQIQEPvTkGnTpvmnk+r/iYrZkb1zcrSgJSjWjBGN3Rtss4OVowGrj6YZ9YjW78oUY+fQoUN07733UkJCAuXl5dHHH38ckZJERCdOnKBt27aR1+ulP/3pT9S+fXv64osvTDV2ZHl2iLiRE4msoFi7u+LNlmlXb44eWUbpIipNqsmxWv6pINuqxpLhxs7jjz9Obdu2pR49etDbb78dsYKhyM/PpzvvvNPUaayGiD4uwooVyopwp2lNmdEYp2OWLqLSpJocq+WfCrJVqv96MGU1VmJiIl133XU0ZMiQkH+R8pvf/IZGjhzpD1BetGiR/95XX30VNEB53759/mfmzJlDycnJdPz4cc0yzTJ2RM+9M4wdiAYjVZQuqnlcRMmxWv6pIFul+q8Hrf23g4hIy+noo0aNgsPhaPa5uXPnankdAGDKlCkYOHAgsrOzcfjwYbz++ut4/PHHUVZWhquuugp33XUXSktL8corryA5ORnjx48HAPz3v/8FANTW1qJ3797IysrCE088gcrKSgwfPhy33347HnvsMc161NTUICUlBdXV1UhOTtb8u+YoKirCggULUFBQgHnz5vn/nZ+fj3bt2sHj8SAnJ8cweYw+vF4viouLo7ocVMwDFXUC1NWLYaIZzf23ENMrBLfeeiu5XC6Ki4ujtLQ0ys/Pp2XLlvnv+zYVbNOmDSUmJtKQIUNo7969Ae/YsWMHDRw4kBISEqh9+/Y0efJkZTYVDOXZcbvdlnQX2g2rum2NRMU8UFEnInX1YsTB3hb1sMQOyqogOmbHdxBoSUlJo3tcsY1DVBCoCoSbFhXzQEWdiNTVi4kM2fs+NSXfrosBjISNHR2INHbcbjcBIIfDYeomXtEwApG1tFwLovMjnLRGW2yMlRp2O3+/qpWD3n2fjN4+pCn5ohYDuN1upcpED2zs6ECGsRPsuAgjK3Y0RPLLWlquBdH5EU5aZa96Et3AWmkays7fr2rloPfbMVp/FYKgww2tUMFwZWNHB3Zcem7nkaFMmVpRWTcfsj0somPXrFAmPuz8/VqpHIJhdf2DEW6aVDBcDV+NZWfMWo3FMExoeHUTw1gbFb5hrf03GztgY4dhGIZhrIjW/jtGoE7M/8fr9aKoqAher1e2KgzDMAxje9jYkcCDDz6IN954Aw8++KBsVRiGYZgGiB6Q8gDYfNjYEcirr76Kzp07Y8+ePSAibNy4UUrlVu3DMkIfldIkMj0i0h1MhllyZZSj3WXaUZbRchq+r7i4GAsWLEBxcbHpsrxeL2666SbMnz8fxcXFEb+vuevN3QuHcHQQjvmx0uojajWWy+UiAJSRkUEul4ucTmdUHDDXHEboE+wdslZNmJUes2SFo4tZclXcwsDqMu0oy2g5Dd9Xv+0wW1ZhYSE5nU5yuVxhtVWh9GtKb7PTZJacYPDScx2IMnZKSkrI5XJRSUmJEnsrqLJ00gh9gr1D72ZhhYWFVFJSYoouep8TfeChVhlG5lNzskShRabReoksX5G7a6uwtYbRekeSpmC/bXgt0jwL9n02/H8j0xSM+n2bmXKCwcaODkTus8OIQ8+H5jOMXC6X7UbBRmJFnY1A9gaM9b0MsjdhVG2w1BCV9BZdb3zyZG3YKWMnZjZ2dCDK2FG9kTAblb1ZZnssgumhwihY5rvMfKfRyN6A0YzpFD2y66O6wauS3rI2h5S1YaeMQ67Z2NGBKGNH9UbCbGSmX5W8t3t8SDiorp8qqGIUGj2tYzaiBjLBZMoqKxWMc1GwsaMDkZ4dow+RsxIqe3bsrIcqaQ+FivrJGpGrlAdmYDdjXyUvklFYrS6ysaMDkTE7Vv4IGCZaEP2dut1ucjgc5Ha7hcgLhuhgd1ky9d5vCpXig4zCan0UGzs6EGnshIpaZ6IP2Q2ibPkqIzpvVDB27OZ1EaGDHb8hq6WJjR0dsGeHkYGRdSGcBipS+VZrFJtC9hSrCtPbWvLA6HxSoQ6poAMTPmzs6ECkscMfFuPDyLoQjuESqXw7Ge4cPK8NK+nKRAds7OiA99lhrA4HPkeGbM+O6NVC9eXqkWeVlVgcYN4Yu67QYmNHBzKMHSt8HAxjJlb8BszUWbTXJJg8kemze16qhiwdzZbLxo4OZBg7KgQkMuKxYgdvFlboIBoiYxmzWQSTJzJ9hYWRnQmlR1aoa1aVp0cPmfqIkMvGjg5kxOzk5uaysROFWLGDNwsrGn5W1FkPoqeajDoQWYveVvL2hFsO0di+sLGjAxmrsWScIcLIx+6dJcPowajvQUsnr4LnTCvhGi3R2L6wsaMD0fvsZGRkUF5enlIV0uofiZUaMivJFIFdA1etUF5W0FELdkmHD7ulx0zY2NGBSGPH7XYTAAKg1BSW1d2fVnJRW0mmCESmqzlZMrYDkNmxiQ5SDobsjl22/GCoqJMWZOjNxo4OZBk7ubm5psvTilU/Lh92a6BVCLAUhch0NScrUsOr/vu1pkuvTCPzq6kgZVFT7SJXaWmRXx9ZnkDZAxsrxQyxsaMD0QHKGRkZHJzMNEk0eKpEINqQCCcf9co0u6x8+rjdbiF1ItgqLZF1san8l+V1lD34tFLMEBs7OhC99Fx2RbYjVs3TUHrbzVMlCzvmo6g02XWpsqq6RGu6I0Vr/+0gIkKUU1NTg5SUFFRXVyM5OdlUWV6vFw8++CAAYMaMGcjJyTFVXrRQVFSEBQsWoKCgAPPmzZOtjmasqjfDMIwKaO2/YwTqxAAoLi7GsmXLsGzZMhQXF8tWxzZ4PB4UFBTA4/HIVkUX9fX2er0oKiqC1+sN+33hvMMIuUYjUicV088wjLHEylYg2vB4PKiqqgIAnH322ejcuTMefvhhjBgxQrJm1iYnJ8eSnpH6evu8PADCTktxcbHud4TzG7MRqZOK6WcYxmCETKqF4LHHHqOcnBxKSkqitLQ0Gjx4MH311VcBzxw7dozGjh1Lbdu2pVatWtENN9xAlZWVAc/s3LmTBg0aRAkJCZSWlkZ//OMf6dSpU5r1kHUQqMvlIgCUmJhoiblRs4nGGIFwVu9ofZ+ZvzEDo/MiHLmMHHjfKiZcLBGg7Ha7ae7cubRp0yZav349DRo0iLKzs+mnn37yPzNmzBjq1KkTlZeXk9frpdzcXLrsssv890+fPk3nnXce9evXj9atW0elpaXUvn17mjJlimY9ZBk7JSUllJiYSDExMbyjMtn3oDpVZasG50X0wvtWMeFiCWOnIfv37ycAtGLFCiIiOnToELVo0YIWLlzof2bz5s0EgFavXk1ERKWlpRQTExPg7Zk9ezYlJyfTiRMnNMmVeep5SUmJsGWeqo9komFkr3ffl2ihoqKC3G43ud3uqM8LLYj2AsrYV8psuSqlP9rkGYkljZ1t27YRAPr888+JiKi8vJwA0MGDBwOey87OpqeffpqIiKZOnUq9evUKuL99+3YCQGvXrg0q5/jx41RdXe3/27VrlxBjp6lNo0RUNiuNZKykqx5UT1e0bqJmNYzILz3viEavq0w97C7PSCxn7NTW1tLVV19Nffv29V+bN28excXFNXr24osvpnvvvZeIiO644w7q379/wP0jR44QACotLQ0qa9q0af5djOv/mW3syN40ykrWu5V01UJDT56q+7CI2BQvmCweyWrHKC+Yyp4N2XJl62F3eUZiOWNnzJgx5HK5aNeuXf5rZhk7Knh2GHvTsKzNGDmFqk+RyAr2zubqrdG7rYr2cqryXWrVw8qjcIYxGksZO+PGjaOOHTvS9u3bA66bNY3VEFExO6o0qtGKyPwvLCwkp9NJLpfLtBikUJ2e0V6k5jpXo9OmtzOPdAWaHnlm1iGt+SzCO8gEwm23uljC2Kmrq6Nx48ZRVlYWbd26tdF9X4DyokWL/Ne++uqroAHK+/bt8z8zZ84cSk5OpuPHj2vSQ5Sx42vMeOWVHESOiCsqKsjlcpHT6TRNnlkeF71yjEavvEjTqUeemXVIVHky+uG8VxdLGDt33XUXpaSk0EcffUR79+71/x09etT/zJgxYyg7O5s+/PBD8nq9lJeXR3l5ef77vqXn/fv3p/Xr19N7771HaWlpSi499zVmbrc7YNTPiEH1Tttu8kVh15V7KsmOdkTkvUrlq5IuzWEJYydYkDAAmjt3rv8Z36aCbdq0ocTERBoyZAjt3bs34D07duyggQMHUkJCArVv354mT56s7KaCvuDCzMxMcjqdUrw8KlRkuxseduuA7SJDpBwZ8uyYh3ZKU1MyjPQeRZoWrbqo0JdYwthRBZHGjq8S5ebmksvlory8vKjcTMvqSytVmnJoGB9kloyG6ZEdqxOuHlase6oFL4uu33ZJU1MyjPyezJjaDXZNhb6EjR0diPbs+KayZMXvqGCNW310LTpotylkxQeJNiBDISKgORKMkKfaSJs9O+rKMEuOiAFPOLCxowOZOyhbYU40mtBaLkaXX6Tv0/t7I/SXlVei368C0ZBGRm1UrYNs7OhA1tlYqlYe1TEz32R5K6w4taKiLEYbstoeGXKt7E1RRZ7KfRUbOzqQZeyIiLXQisqVuaFuZnaekeRDJFM93FCqgZV0jQRZBqgMuXaK+ZElT+UBCxs7OhBh7IQK+DI71kIrKlfmhrqp2iGpOqfNaEfl78BI2LNjXTky5KncjrGxowMRxk6oRlSVSqSKHsFQWbf6WEVPJjRchgxjLbT23w4iIkQ5NTU1SElJQXV1NZKTk02R4fV6UVxcDI/Hg5ycHFNkMPrgMmEYhrE2WvvvGIE6RTU5OTmYN29eo07V6/WiqKgIXq9XkmbWJ9w8LC4uxoIFC1BcXGySZgzDMIwKsLEjEK/XiwEDBmDAgAH+jpk73MgJNw89Hg8KCgrg8XhM0kw8oo1nOxvrdk6bKGTlYTTJFSEzmAzLfR9CJtUUR+RBoA6HgxwOh/LBtlaC8/AX7LwiRDR2TpsozNjJ1yy5ojZ/FL3BqRGyg8lQ5fvgAGUdiDwI1O12k9vtppKSEu6gGcOx84oQ0dg5baKINA/D7VDDkWtE561Frqy9vCKRHWo1sQrfBxs7OpCxz44qVjGjJqo0JMwvcJmIx47Lq2XWIzvWYTZ2dCDD2CkpKSGXy0UlJSXCZBJZq7JbSVejUckYVqEcVNBBpTJhGOZntPbfsfKihaKbsrIy7N69G2VlZRgxYoQwub5gXgCYN2+eMLnhYCVdjcYXNK1C8LQK5aCCDiqVCcNEStRtvSHI+FIakTE7hYWFVFJS4o/dER1boUKskNZRutGj+WjYNdYMWSp4VYzSQYW0MIwK2MVTydNYOhB1XITvaAiXy2Xb82FU1iUa5KpUzirC+cMwP2MXw5+nsRSjuLgY33//PdLS0pCZmYnu3bvD7XajqKhIiBtRJRe8LF2iQa5K5awinD/2JeqmZSLEt9FttMDHRUDscRFVVVUoLy9HQUEBAGDBggUoKCiIqkrHMAxjNEVFRZZrT9lAixw+LkIxfFb0jBkzUFBQALfbjaqqKuTn5/MoUyIydwG13A6kUQSXjfWw4o7okeygz3VUJ0Im1RRHxqaCbrebYmNjye128yZwDWhKR6MDVX3lECyGw+y84vgRdZFZNuHUu0jqqt7fWj3gXiXZDWWI2CAwXN1UhQOUdSD6uAgAlJub22xna5YOqnewTelolP6+9zRlbHJjEjlWTaNMvcOpd5HUVb2/jZaAexmyRRz9EIkuKn7PbOzoQKRnJyMjgxwOB7ndbv819uwE0tRoR+QSZNEjbDtiBeNaNdizI0eWCrJltx/NtbUqfs9s7OhA5A7KsiuzFbHSlIKKjQFRdOwxxNgbrkvm01z7pWIZsLGjAxnHRTDasdKUgoqNAZG6RhjDaIXrsPmo2n41BRs7OpBl7FixYkUbVi8jFXbOVi0PVdOnIdEwtR3ONHIk022q5KlZeqhep82EjR0dyDJ2eKTCmI0KdUwFHeqjmj4NEa2fqoG4kepV//eq5KlZeqhep82Ed1C2ALybK2M2oupYU5ujqVbPVdOnIaL1k5EfWmRGqlew38vO03DSpGXjQdXrtBIIMr6URvRBoCpE2tsZ1dOpgn5G66DSktlIUWXKw+qyIpFppp5m50G47w/1u1DfVqTp0PN7kbL0wtNYOhC5z46MjQSJAg8itcKqpkgIx6UrSj+R5dBUmox0e1dU/LJZppb8U7l8iH7Wz3dgr13qgy//ROzr1bCswilvLb8Jt06YXf/C/bZC1Tu9RpBW3G53wDYozekmSpZe2NjRgWjPTsPdk0UEj4pswEPJF7VBXziNYKT6aZUpshzqpynSYE+tcrQgo3z0INIgFVUfRA60GpaVWZ6dcOuE2fUvEs+OnnoX6TesxwARKUsvbOzoQHSAcklJCblcLsrLy6PY2FhyuVzCR1uiMVt+pB9TJCs9iLQ3hrJcz2YaC5GkSetv7Tq1pEWOEbpYacpDj056PIqRyhIxMLXrlGbUT2OtWLGCrrnmGsrMzCQA9NZbbwXcr6uro6lTp1JGRga1bNmS8vPzaevWrQHPVFVVUWFhIbVu3ZpSUlLo1ltvpcOHD+vSQ7Sx03CUJXNZsF0wc+QQDCNGr0bI1YpsYzcUIj02kSDT+DE7j3yDr5KSkpDPmKGDER4f0fXHKvXVh6zvXqRcSxg7paWl9MADD9DixYuDGjuzZs2ilJQUevvtt2nDhg103XXXUZcuXejYsWP+ZwYMGEC9evWi//3vf/TJJ5/QWWedRUOHDtWlh+gdlN1uN+Xm5goZkUQLqo/8gz1vlns/XEK9W4ZMEYiIw9ArK5gcs/PI5XIRAHK5XCGfMUOHcGN56k/7qf7dy0aWcSZSriWMnfo0NHbq6uooIyODnnzySf+1Q4cOUXx8PL3xxhtERPTll18SgICKt3TpUnI4HLR7927NskUaO75KIGLqilGHYB+/aqPEUPqopqdRiIjD0CtLhsGpxbPTEBlTa76BYmZmprSFFlaDPTu/oKyx88033xAAWrduXcBzV1xxBU2YMIGIiP7xj39QampqwP1Tp06R0+mkxYsXa5Yt0tjxNSzTp0+31AiBiQyjPDtm0lAfUXEKTelgBVki4m6aM5ZE1yUZBnDD6X9Vvhurolr7Ey6WN3ZWrVpFAGjPnj0Bz/3ud7+jgoICIiJ69NFH6eyzz270rrS0NHrhhRdCyjp+/DhVV1f7/3bt2mWKsRNq/l3mqqhoRMWP2gqdut4OzYg0qdapa5ErouNvLt2ijQ+7Tafq1cUOcu1iPLKx04SxM23aNALQ6M9oYyfU/HvD5YUqdsYqYFS+qDgNI1InUUHNRqRJtU5di1wVvl8VdDAKlb5XFeubUfjqjIi9l8zE8saOmdNYsjw7oaYFVPq4VcKofFGxI7CCZ0dFOXYeaTM/o1JeR0N9Uym/w8Hyxo4vQPmpp57yX6uurg4aoOz1ev3PlJWVKRugXH8Kq77BE00VW498M3S1yuofFfSIpmkDRjxc1voRnWdWKCNLGDuHDx+mdevW0bp16wgAPf3007Ru3TrauXMnEf289Dw1NZWWLFlCGzdupMGDBwddet6nTx9as2YNrVy5krp166bs0vP6U1iyVmPJ9iJFs3zZaderh8wgVNl5xJgPl7V+ROeZFcrIEsbO8uXLg8bOjBw5koh+2VQwPT2d4uPjKT8/n7Zs2RLwjqqqKho6dCglJSVRcnIyjR49WulNBUNNZdlpqkGGfJW9FSrIDkcP9uwwZsJlrR/27DTGEsaOKojeQZlI/k6gdoPzj2HU6ZzsOnhTJX+ZX9Daf8eCkcKDDz6IZcuWoaqqCu+99x48Hg8A+P/L6IPzj2GA4uJiLFiwAAAwb9482+shOr2q5C+jHzZ2JFFdXQ0iQnV1NQAgJydH+Mfj9XpRXFwMj8eDnJwcobKNli8j/xhGNVQx+kXpITq9ouXJbqNthRhHk9rImMaqf3ClLNeo7KkfOy8t10M0LG/VAudDY1TWjTGf+it4OXYuOByzowPZB4HKMjpkV2g7bxqoBztvXKYHzofGqKwbYz7BNqEVgZXqHRs7OhC99Bz/f9WZ2+32X1fBilZFj6YIpqPVN7Njj8bP+AYCvkGASLnh5IOq9c7OQbuq1dlw0JsGXhXZNGzs6ED0poLx8fEEgDIzM5XyqljBmufRv72xQj77vh1R2+zr7XhETw8bIU+ULBU6cVF1XIW0ioCNHR2I9OwUFhbS9OnTKTExkWJiYpSKl7HCx8FeEHtjhXz2fTuiDlDU2zmKnh42Qp4oWSoY06LquAppFQEbOzoQHbPjcrkoJiZGWNCZrKmfcPSyo0xZslUoYzvSMF/Nzuf67xe5f42oKUXRsgoLG2/qKgLZ379d2wM2dnQg0thpKrrerMqoqoVvtF5a8q/+KjhRaJn2MKPsm8pfmY2+3RD5fYmSZcc0RaNMleSbBRs7OpBxXEQwL4tZMQCqWvR69NLyrJaPWauxY6RuWqY9zJgaaUovnzxZZ7TZCTsG6GqVY4Q+0eLhld0Oy5ZvFmzs6EDGPjv1ER0DYEW0GDJaPmYzAiGbe1aPXqKDXtmzw0SCXb0FjHVgY0cHso0du1rcRiJ7vtuoZ0W+i2HMhusrIxs2dnQgwtgJ1ShwY8GoDtdR+ahYBirqVB9V9ZOtl2z5RsPGjg5EGDuh3L3sBmZUp2EdtVtjaQVUbCdU1Kk+quonWy/Z8o2GTz1XjPoHyNU/3E2Vg/sYJhQN6yif/CweFdsJFXWqj6r6ydbL4/GgqqoKVVVV8Hq9UXPAqIOISLYSsqmpqUFKSgqqq6uRnJxsuryioiIsWLAA+fn5/mszZsyImkqnFz75Vy24PBjG2vj6oIKCAssPWLT23+zZkYDPoq+qqsKyZcsAAO3atbN8pTML9iSoRU5OTrPlwAYRw6iLbO+SDGJkKxCN+DqLGTNmoH///ujfv39UVTq9eDweFBQUSMkjr9eLoqIieL1e28o0Q57PQC0uLjZdllGorFs0IDP/RcpWoZ75+qCoGogIiSBSHNmbCjLqEg07rZohL1Q9Vzk4UmXdogGZ+W/3HaPtDAcoKwpPyVgLGe5e0TLNkBdqqktl97nKukUDMvNfpGyuZ3LgAGWIDVD2xTK43W6UlZVxTAPDSIbji+wNl6+90dp/c8yOYHJycuDxePDQQw9h/vz5jWIamKYRNd+twrw6I4ZQ8UWMPeDyZQA2dqRQXFyMXbt2IT4+Hm63W5oeqnfowfQT1XBxAxk9yAyAZ8yHy5cBwAHKROLPxiopKaHExESKiYkRFqQWLGBUVqBcJIdxhhvgrfd3ZgWSq3zGlxXl2Q3OP4bRBx8XoQPRxk5hYSE5nU5yuVzCGjUjDQczdAlGJPo1/K0qKyDssNJKJXmqo7cOc/7pQyXjUKYusmSrkP9s7OhA9NJzt9tNubm55Ha7o3LELUIXVc9zsrunRZV8VgW9xgvnnz5UMg5F6qLKYE6F/GdjRwcijR1f5XC5XNIriZ3hTqMxnCfiMSrPZZSdivWloU5G6hjpu0XmV30jwzeAFjl49qFCHWFjRwcyNhUsKSmRXkmY6EKFURgTHtGwuaUWzNSp4btVTL+P+kaGynqKgI0dHYiO2WEYGagwCmPCQ8boXaRMrXUz0jrc1O/N9BppkW/0O6MlhoiNHR2wscMwjOrY2btjNzkqyI+W4zf4uAjF4V09GYbRg52PLrGbHBXkR8vxG1qxzXERf/vb3/Dkk0+isrISvXr1wnPPPYdLLrlE029FHxfx4IMPYuPGjdi/fz9uvvlmpc7IYiOMYRiGsQpRdVzE/Pnz8Yc//AHTpk3D2rVr0atXL7jdbuzfv1+2ao0oLi7GsmXLsHfvXuk7KPuov1OxyjsHq77js92Rkf8iZdpVlio62DV/ZZal3b9JQzF9Qk0Al1xyCY0bN87/79raWsrKyqKZM2dq+r3ImJ2SkhLKyMig9u3bk9PpNHVOM5ydilUOypM93x7t2DlmxM6yVNHBrvkbLbExMmU2RdQEKJ84cYKcTie99dZbAddHjBhB1113naZ3iN5nx+l0UkZGhumrHETsVGykHs3Bq4nkYve9XuwqSxUdRG67ES1lafdvUgtRY+zs3r2bANB///vfgOv33HMPXXLJJUF/c/z4caqurvb/7dq1S+g+Oy6Xy3Svjk+WCpVSFT0YhpGPap4BxtrwaqwmmDlzJv785z9LkZ2Tk4NFixb5g4DNlqVC8LMqejAMIx8VV+ow9sfyq7FOnjyJxMRELFq0CNdff73/+siRI3Ho0CEsWbKk0W9OnDiBEydO+P9dU1ODTp06CVmNxTAMwzCMMUTNaqy4uDhcdNFFKC8v91+rq6tDeXk58vLygv4mPj4eycnJAX8MwzAMw9gTW0xj/eEPf8DIkSORk5ODSy65BM888wyOHDmC0aNHy1aNYRiGYRjJ2MLYufnmm/HDDz/goYceQmVlJXr37o333nsP6enpslVjGIZhGEYylo/ZMQKROygzDMMwDGMMUROzwzAMwzAM0xRs7DAMwzAMY2vY2GEYhmEYxtawscMwDMMwjK1hY4dhGIZhGFvDxg7DMAzDMLaGjR2GYRiGYWwNGzsMwzAMw9gaNnYYhmEYhrE1tjguIlJ8m0jX1NRI1oRhGIZhGK34+u3mDoNgYwfA4cOHAQCdOnWSrAnDMAzDMHo5fPgwUlJSQt7ns7EA1NXVYc+ePWjdujUcDodh762pqUGnTp2wa9cuPnPLRDifxcF5LQbOZzFwPovDrLwmIhw+fBhZWVmIiQkdmcOeHQAxMTHo2LGjae9PTk7mD0kAnM/i4LwWA+ezGDifxWFGXjfl0fHBAcoMwzAMw9gaNnYYhmEYhrE1bOyYSHx8PKZNm4b4+HjZqtgazmdxcF6LgfNZDJzP4pCd1xygzDAMwzCMrWHPDsMwDMMwtoaNHYZhGIZhbA0bOwzDMAzD2Bo2dhiGYRiGsTVs7JjI3/72N3Tu3BktW7bEpZdeik8//VS2SpZm5syZuPjii9G6dWt06NAB119/PbZs2RLwzPHjxzFu3Di0a9cOSUlJuPHGG7Fv3z5JGtuDWbNmweFwYNKkSf5rnM/GsHv3bgwbNgzt2rVDQkICzj//fHi9Xv99IsJDDz2EzMxMJCQkoF+/fti2bZtEja1HbW0tpk6dii5duiAhIQFdu3bFI488EnCWEudzeHz88ce49tprkZWVBYfDgbfffjvgvpZ8PXDgAIqKipCcnIzU1FTcdttt+Omnn4xXlhhTePPNNykuLo7++c9/0hdffEF33HEHpaam0r59+2SrZlncbjfNnTuXNm3aROvXr6dBgwZRdnY2/fTTT/5nxowZQ506daLy8nLyer2Um5tLl112mUStrc2nn35KnTt3pgsuuIAmTpzov875HDkHDhwgl8tFo0aNojVr1tD27duprKyMvv76a/8zs2bNopSUFHr77bdpw4YNdN1111GXLl3o2LFjEjW3Fo8++ii1a9eO/v3vf9O3335LCxcupKSkJPrrX//qf4bzOTxKS0vpgQceoMWLFxMAeuuttwLua8nXAQMGUK9eveh///sfffLJJ3TWWWfR0KFDDdeVjR2TuOSSS2jcuHH+f9fW1lJWVhbNnDlTolb2Yv/+/QSAVqxYQUREhw4dohYtWtDChQv9z2zevJkA0OrVq2WpaVkOHz5M3bp1o/fff5+uvPJKv7HD+WwM9913H11++eUh79fV1VFGRgY9+eST/muHDh2i+Ph4euONN0SoaAuuvvpquvXWWwOu3XDDDVRUVEREnM9G0dDY0ZKvX375JQGgiooK/zNLly4lh8NBu3fvNlQ/nsYygZMnT+Kzzz5Dv379/NdiYmLQr18/rF69WqJm9qK6uhoA0LZtWwDAZ599hlOnTgXke/fu3ZGdnc35Hgbjxo3D1VdfHZCfAOezUbzzzjvIycnB7373O3To0AF9+vTB3//+d//9b7/9FpWVlQH5nJKSgksvvZTzWQeXXXYZysvLsXXrVgDAhg0bsHLlSgwcOBAA57NZaMnX1atXIzU1FTk5Of5n+vXrh5iYGKxZs8ZQffggUBP48ccfUVtbi/T09IDr6enp+OqrryRpZS/q6uowadIk9O3bF+eddx4AoLKyEnFxcUhNTQ14Nj09HZWVlRK0tC5vvvkm1q5di4qKikb3OJ+NYfv27Zg9ezb+8Ic/4P7770dFRQUmTJiAuLg4jBw50p+XwdoRzmft/OlPf0JNTQ26d+8Op9OJ2tpaPProoygqKgIAzmeT0JKvlZWV6NChQ8D92NhYtG3b1vC8Z2OHsSTjxo3Dpk2bsHLlStmq2I5du3Zh4sSJeP/999GyZUvZ6tiWuro65OTk4LHHHgMA9OnTB5s2bcKLL76IkSNHStbOPixYsADz5s3D66+/jp49e2L9+vWYNGkSsrKyOJ+jCJ7GMoH27dvD6XQ2Wp2yb98+ZGRkSNLKPtx9993497//jeXLl6Njx47+6xkZGTh58iQOHToU8Dznuz4+++wz7N+/HxdeeCFiY2MRGxuLFStW4Nlnn0VsbCzS09M5nw0gMzMTPXr0CLh27rnn4rvvvgMAf15yOxIZ99xzD/70pz/hlltuwfnnn4/hw4fD4/Fg5syZADifzUJLvmZkZGD//v0B90+fPo0DBw4Ynvds7JhAXFwcLrroIpSXl/uv1dXVoby8HHl5eRI1szZEhLvvvhtvvfUWPvzwQ3Tp0iXg/kUXXYQWLVoE5PuWLVvw3Xffcb7rID8/H59//jnWr1/v/8vJyUFRUZH//zmfI6dv376Ntk7YunUrXC4XAKBLly7IyMgIyOeamhqsWbOG81kHR48eRUxMYFfndDpRV1cHgPPZLLTka15eHg4dOoTPPvvM/8yHH36Iuro6XHrppcYqZGi4M+PnzTffpPj4eHrllVfoyy+/pDvvvJNSU1OpsrJStmqW5a677qKUlBT66KOPaO/evf6/o0eP+p8ZM2YMZWdn04cffkher5fy8vIoLy9Potb2oP5qLCLOZyP49NNPKTY2lh599FHatm0bzZs3jxITE+m1117zPzNr1ixKTU2lJUuW0MaNG2nw4MG8JFonI0eOpDPOOMO/9Hzx4sXUvn17uvfee/3PcD6Hx+HDh2ndunW0bt06AkBPP/00rVu3jnbu3ElE2vJ1wIAB1KdPH1qzZg2tXLmSunXrxkvPrcZzzz1H2dnZFBcXR5dccgn973//k62SpQEQ9G/u3Ln+Z44dO0Zjx46lNm3aUGJiIg0ZMoT27t0rT2mb0NDY4Xw2hnfffZfOO+88io+Pp+7du9NLL70UcL+uro6mTp1K6enpFB8fT/n5+bRlyxZJ2lqTmpoamjhxImVnZ1PLli3pzDPPpAceeIBOnDjhf4bzOTyWL18etE0eOXIkEWnL16qqKho6dCglJSVRcnIyjR49mg4fPmy4rg6iettIMgzDMAzD2AyO2WEYhmEYxtawscMwDMMwjK1hY4dhGIZhGFvDxg7DMAzDMLaGjR2GYRiGYWwNGzsMwzAMw9gaNnYYhmEYhrE1bOwwDMMwDGNr2NhhGEYao0aNwvXXXy9N/vDhw/2njpvBl19+iY4dO+LIkSOmyWAYpnl4B2WGYUzB4XA0eX/atGnweDwgIqSmpopRqh4bNmzAb3/7W+zcuRNJSUmmybnpppvQq1cvTJ061TQZDMM0DRs7DMOYQmVlpf//58+fj4ceeijglO+kpCRTjYzmuP322xEbG4sXX3zRVDn/+c9/cMcdd+C7775DbGysqbIYhgkOT2MxDGMKGRkZ/r+UlBQ4HI6Aa0lJSY2msX79619j/PjxmDRpEtq0aYP09HT8/e9/x5EjRzB69Gi0bt0aZ511FpYuXRoga9OmTRg4cCCSkpKQnp6O4cOH48cffwypW21tLRYtWoRrr7024Hrnzp0xY8YMjBgxAklJSXC5XHjnnXfwww8/YPDgwUhKSsIFF1wAr9fr/83OnTtx7bXXok2bNmjVqhV69uyJ0tJS//2rrroKBw4cwIoVKyLMUYZhwoWNHYZhlKKkpATt27fHp59+ivHjx+Ouu+7C7373O1x22WVYu3Yt+vfvj+HDh+Po0aMAgEOHDuG3v/0t+vTpA6/Xi/feew/79u1DQUFBSBkbN25EdXU1cnJyGt0rLi5G3759sW7dOlx99dUYPnw4RowYgWHDhmHt2rXo2rUrRowYAZ9TfNy4cThx4gQ+/vhjfP7553j88ccDPFZxcXHo3bs3PvnkE4NzimEYzRh+jjrDMEwD5s6dSykpKY2ujxw5kgYPHuz/95VXXkmXX365/9+nT5+mVq1a0fDhw/3X9u7dSwBo9erVRET0yCOPUP/+/QPeu2vXLgJAW7ZsCarPW2+9RU6nk+rq6gKuu1wuGjZsWCNZU6dO9V9bvXo1AaC9e/cSEdH5559P06dPbzL9Q4YMoVGjRjX5DMMw5sGeHYZhlOKCCy7w/7/T6US7du1w/vnn+6+lp6cDAPbv3w/g50Dj5cuX+2OAkpKS0L17dwDAN998E1TGsWPHEB8fHzSIur58n6ym5E+YMAEzZsxA3759MW3aNGzcuLHROxMSEvyeKIZhxMPGDsMwStGiRYuAfzscjoBrPgOlrq4OAPDTTz/h2muvxfr16wP+tm3bhiuuuCKojPbt2+Po0aM4efJkk/J9spqSf/vtt2P79u0YPnw4Pv/8c+Tk5OC5554LeOeBAweQlpamLQMYhjEcNnYYhrE0F154Ib744gt07twZZ511VsBfq1atgv6md+/eAH7eB8cIOnXqhDFjxmDx4sWYPHky/v73vwfc37RpE/r06WOILIZh9MPGDsMwlmbcuHE4cOAAhg4dioqKCnzzzTcoKyvD6NGjUVtbG/Q3aWlpuPDCC7Fy5cqI5U+aNAllZWX49ttvsXbtWixfvhznnnuu//6OHTuwe/du9OvXL2JZDMOEBxs7DMNYmqysLKxatQq1tbXo378/zj//fEyaNAmpqamIiQndxN1+++2YN29exPJra2sxbtw4nHvuuRgwYADOPvtsvPDCC/77b7zxBvr37w+XyxWxLIZhwoM3FWQYJio5duwYzjnnHMyfPx95eXmmyDh58iS6deuG119/HX379jVFBsMwzcOeHYZhopKEhAS8+uqrTW4+GCnfffcd7r//fjZ0GEYy7NlhGIZhGMbWsGeHYRiGYRhbw8YOwzAMwzC2ho0dhmEYhmFsDRs7DMMwDMPYGjZ2GIZhGIaxNWzsMAzDMAxja9jYYRiGYRjG1rCxwzAMwzCMrWFjh2EYhmEYW/P/AFxJSfkm2fchAAAAAElFTkSuQmCC"
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     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    },
    {
     "data": {
      "text/plain": [
       "<module 'matplotlib.pyplot' from 'C:\\\\Users\\\\adadu\\\\miniconda3\\\\envs\\\\bdp\\\\Lib\\\\site-packages\\\\matplotlib\\\\pyplot.py'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 7
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
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   "eqLabelWithNumbers": true,
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  "toc": {
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   "nav_menu": {},
   "number_sections": true,
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   "skip_h1_title": false,
   "title_cell": "Table of Contents",
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   "toc_position": {},
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 },
 "nbformat": 4,
 "nbformat_minor": 5
}
